{"id":"W4281831542","doi":"10.2196/36244","title":"Exploring Urological Malignancies on Pinterest: Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Grading (engineering); Malignancy; Genitourinary system; Kidney cancer; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004248284,0.00006480842,0.000148855,0.0001341218,0.0007746347,0.00002475379,0.0001995121,0.00002810244,0.002691698],"category_scores_gemma":[0.0003662322,0.0000649703,0.00009754244,0.0009341649,0.00009878772,0.00009404773,0.00004456684,0.0001883717,0.00002323153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008049459,"about_ca_system_score_gemma":0.0002283158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078462,"about_ca_topic_score_gemma":0.002630905,"domain_scores_codex":[0.998543,0.0003082389,0.000157691,0.0002105936,0.0004840089,0.0002964889],"domain_scores_gemma":[0.9991693,0.0004495029,0.00009048892,0.0001212066,0.00005830154,0.000111172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001920868,0.0004036937,0.6825492,0.00002270393,0.0002637176,0.0000128606,0.2156024,0.001040903,0.0001503269,0.03771322,0.005207002,0.05684187],"study_design_scores_gemma":[0.0001209155,0.0001204357,0.5870989,0.000007012732,0.00005881058,8.462661e-8,0.02417107,0.0000184282,0.0000301369,0.0001524046,0.3880917,0.000130133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795249,0.0001989588,0.000005031702,0.01359672,0.004380217,0.0006071201,0.00001178654,0.00008279254,0.001592489],"genre_scores_gemma":[0.9817135,0.000199244,0.00001688872,0.001320628,0.0008200315,0.01565616,0.00000365388,0.000006752698,0.0002631234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3828847,"threshold_uncertainty_score":0.99822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6611409051432489,"score_gpt":0.4726731760215377,"score_spread":0.1884677291217112,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}